Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Jihua Fang"'
Publikováno v:
Drones, Vol 7, Iss 8, p 533 (2023)
Rubber tree is one of the essential tropical economic crops, and rubber tree powdery mildew (PM) is the most damaging disease to the growth of rubber trees. Accurate and timely detection of PM is the key to preventing the large-scale spread of PM. Re
Externí odkaz:
https://doaj.org/article/09ee775f126348b98706a2e641d1340f
Autor:
Hongxia Luo, Maofen Li, Shengpei Dai, Hailiang Li, Yuping Li, Yingying Hu, Qian Zheng, Xuan Yu, Jihua Fang
Publikováno v:
Remote Sensing, Vol 14, Iss 7, p 1757 (2022)
Betel palms and mango plantations are two crucial commercial crops in tropical agricultural areas. Accurate spatial distributions of these two crops are essential in tropical agricultural regional planning and management. However, the characteristics
Externí odkaz:
https://doaj.org/article/9160fd502292445a846be1a9b39e2893
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 120:6605-6616
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be140e777f4645eaa8aad5cad199027c
https://doi.org/10.1007/s00170-022-08980-0
https://doi.org/10.1007/s00170-022-08980-0
Autor:
Tiwei Zeng, Huiming Zhang, Yuan Li, Chenghai Yin, Qifu Liang, Jihua Fang, Wei Fu, Juan Wang, Xirui Zhang
Publikováno v:
Forests; Volume 14; Issue 4; Pages: 717
Rubber tree powdery mildew (PM) is one of the most devastating leaf diseases in rubber forest plantations. To prevent and control PM, timely and accurate detection is essential. In recent years, unmanned Aerial Vehicle (UAV) remote sensing technology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8da33be606deefd7e4aa1972e86f4972
https://doi.org/10.3390/f14040717
https://doi.org/10.3390/f14040717
Autor:
Longtao Jiang, Guoqin Chen, Ping He, Jihua Fang, Deng Gong, Z.L. Chao, Weiwei Zhang, Zhihe Zhao
Publikováno v:
Journal of Alloys and Compounds. 857:157601
The γ" phase and the γ′ phase are metastable precipitates in Cu-2.0 wt%Be alloy, which play a key role in strengthening the alloy. This paper mainly discusses the formation process, microstructure and strengthening mechanism of these two precipit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cf2ed5e8a4e282fec34a75231ab4e2e
https://doi.org/10.1016/j.jallcom.2020.157601
https://doi.org/10.1016/j.jallcom.2020.157601
Publikováno v:
Agricultural Science & Technology. Jul2014, Vol. 15 Issue 7, p1235-1239. 5p.
Publikováno v:
Computer Science, Technology and Application.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e53a552ebda748b7c7d5cd65e6811426
https://doi.org/10.1142/9789813200449_0061
https://doi.org/10.1142/9789813200449_0061
Publikováno v:
Geo-Informatics in Resource Management and Sustainable Ecosystem ISBN: 9783662491546
GRMSE
GRMSE
In this paper, we analyzed inter-annual variations of NDVI and their relationship with climate variables (temperature and precipitation) between 2001 and 2014 in Hainan island. Temporal response characteristics of NDVI-temperature and NDVI-precipitat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f09bf26f6047bf848eef3544058fd04f
https://doi.org/10.1007/978-3-662-49155-3_34
https://doi.org/10.1007/978-3-662-49155-3_34
Publikováno v:
Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016).
Agricultural information technology is an emerging research direction with high effect agriculture developing. The paper proposes a design idea on monitoring and warning system for the environment of tropical crop growth based on technology of multi-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55e3cc21bb4ea800e38cb34a9afc3ee3
https://doi.org/10.2991/ameii-16.2016.148
https://doi.org/10.2991/ameii-16.2016.148
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 121:032045
Using the Moderate Resolution Imaging Spectroradiometer-normalized difference vegetation index (NDVI) dataset, we analyzed the predicted NDVI values variation and the influence of human activities on vegetation on Hainan Island during 2001-2015. We i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dacc6540f54be419c8fe3dd8aa9a38a
https://doi.org/10.1088/1755-1315/121/3/032045
https://doi.org/10.1088/1755-1315/121/3/032045